Senior Machine Learning Engineer

Global financial technology platform powering prosperity through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp
$161,500 - $219,000
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
6+ years of experience
Finance · Enterprise SaaS

Description For Senior Machine Learning Engineer

Intuit, a leading global financial technology platform serving approximately 100 million customers worldwide, is seeking a Senior Machine Learning Engineer to join their team. This role presents an exciting opportunity to work on products that impact millions of users through platforms like TurboTax, Credit Karma, QuickBooks, and Mailchimp.

As a Senior Machine Learning Engineer, you'll be embedded within a dynamic team of data scientists, where you'll play a crucial role in conceiving, developing, and deploying machine learning models at scale. The position requires expertise in data wrangling, feature engineering, model development, and metrics testing, making it perfect for someone who combines strong technical skills with practical machine learning experience.

The role offers a competitive compensation package ranging from $161,500 to $219,000, along with additional benefits and equity rewards. You'll be working from the San Francisco Bay Area, collaborating with cross-functional teams to drive innovation in financial technology.

Key responsibilities include managing the entire machine learning pipeline - from data discovery and preparation to model deployment and optimization. You'll work closely with data scientists to develop and refine features, implement sophisticated algorithms, and conduct A/B tests to measure impact. The role requires strong technical expertise in Python, SQL, and various machine learning frameworks, along with experience in cloud technologies and GPU acceleration.

The ideal candidate will bring 6+ years of experience, strong computer science fundamentals, and proven experience deploying scalable solutions. You'll need to be comfortable working with large-scale systems and have excellent communication skills to effectively collaborate with product managers, engineers, and leadership teams.

This position offers the opportunity to work on challenging problems at scale, with access to vast amounts of data and the latest industry tools. You'll be part of a company committed to innovation and helping customers achieve financial prosperity, making this an excellent opportunity for someone looking to make a significant impact in the fintech space.

Last updated 13 days ago

Responsibilities For Senior Machine Learning Engineer

  • Discover, access, import, clean, and prepare data for machine learning
  • Work with data scientists to create and refine features and build pipelines for model training and deployment
  • Partner with data scientists to implement and refine machine learning algorithms
  • Run A/B tests, perform statistical analysis, and evaluate model impact
  • Work cross-functionally with product managers, data scientists, and engineers
  • Explore new technologies and their potential customer benefits

Requirements For Senior Machine Learning Engineer

Python
  • BS, MS, or PhD in Computer Science or related field, or equivalent experience
  • 6+ years of experience
  • Knowledge of Data Science tools (Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark)
  • Understanding of machine learning techniques and principles
  • Knowledge of SQL and data processing tools
  • Computer science fundamentals
  • Software engineering fundamentals including version control
  • Experience deploying scalable software for millions of users
  • Experience with GPU acceleration (CUDA and cuDNN)
  • Experience with cloud technologies (AWS and GCP)
  • Strong oral and written communication skills

Benefits For Senior Machine Learning Engineer

Equity
  • Competitive base pay
  • Cash bonus
  • Equity rewards
  • Comprehensive benefits package

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